Update app.py

app.py

@@ -1,13 +1,21 @@
 import gradio as gr
+import os
 from transformers import pipeline
+
+# Load ASR pipeline
 asr = pipeline(task="automatic-speech-recognition",
                model="distil-whisper/distil-small.en")
-def launch(input):
-    out = asr.input
-    return out[0]['text']
 
-iface = gr.Interface(launch,
-                     inputs=gr.Image(type='pil'),
+# Define function
+def transcribe(audio):
+    out = asr(audio)
+    return out['text']  # Extract transcribed text
+
+# Create Gradio Interface
+iface = gr.Interface(fn=transcribe,
+                     inputs=gr.Audio(type="filepath"),  # Expect an audio file path
                      outputs="text")
+
+# Launch Interface
 iface.launch(share=True, 
-             server_port=int(os.environ['PORT1']))
+             server_port=int(os.environ['PORT1']))